Data & DevOps Engineer at Enel Group
I build data platforms, cloud infrastructure and the delivery pipelines that connect them. Based in Rome.
I'm a computer science engineer with a strong passion for data science, cloud systems and digital infrastructure.
I enjoy discussing ideas, comparing approaches with peers and building efficient digital products: cyber-physical systems, data lakes, data warehouses, machine learning solutions and software designed to make daily life easier.
Today I'm growing on both the technical and the management side.
Solid grounding in engineering, mathematics, statistics and algorithmic thinking.
Self-motivated team player with clear communication and solid organisational skills.
Always exploring new technologies and patterns to raise delivery quality.
Nov 2022 – Present
Data Engineer & Solution Architect · Global Data Hub
I build business solutions for the Enel company hubs and support teams across application, platform and delivery streams:
Dec 2021 – Nov 2022
Junior IT Consultant · Staff 2
I maintained existing solutions and built new ones around client needs:
Feb 2019 – Oct 2021
MSc in Computer Engineering · 110/110
Thesis: Smart manufacturing in aerospace industries: analysis and prediction in the RUAG case study
The goal was to improve RUAG's production line for satellite panels with a smart-manufacturing approach, supporting ESA's push to mass-produce small satellites for constellations. The architecture digitalises the line: Apache Flink processes large volumes of machine data, Kibana dashboards (built with eland and Altair) let engineers filter and inspect each panel, and a Markov decision process predicts the next step of the automated paneling machine to flag when human intervention is needed.
Sep 2014 – Feb 2019
BSc in Computer Engineering
Track: Software & Web Systems
Sep 2009 – Jul 2014
Scientific high school diploma
What I build outside work, on evenings and weekends.
A data-driven coach that builds a training plan around your next race and adjusts it as you run. Activities arrive from Strava in real time, and every change to the plan comes with its reason.
Private for now. Want a demo or more details? Email me
My travel blog: a digital diary of the trips I’ve made, with tips, photos and clips. A carousel home page, one slide per trip, draws you in.
Implemented S-shaped Rectified Linear Units and benchmarked them against ReLU, Leaky ReLU, PReLU and exponential activations across several convolutional networks.
Detects emergencies in real time using people as sensors: tweet preprocessing, TF-IDF vectors, topic clustering and an SVM relevance classifier.
Android app to save quotes, track the books you've read and compare with friends. Firebase auth, Google Books API and a Node.js REST backend on MongoDB.
Two homeworks: compiler and optimisation prediction with classic classifiers, then weather-image classification with a CNN trained from scratch versus a fine-tuned pre-trained model.
Three labs configuring LANs and WANs on emulated Unix hosts: addressing, DHCP, NAT, static routing, OSPF, iptables, SSH, VPN, x509 and DNS.
Designing an app that connects people through sport: create and join events, share workouts and launch public challenges. Iterated through documented design rounds.
A talk on the RCL paper: moving critical-section execution to a dedicated server core to cut lock contention and cache misses on multicore machines.
Web and desktop app in Java, built on the BCE pattern, to book exams, events and rooms. Role-based access, JDBC, Servlets and JUnit tests, plus a concurrent thread that simulates random bookings.
TCP client-server for cinema seat booking over Berkeley sockets: live seat map, cancellation codes, concurrent clients and file-based persistence.
C client-server implementing selective repeat on top of UDP with simulated packet loss, plus list, get and put commands.
JavaFX desktop app that imports INAF star and filament CSV data into PostgreSQL, with ER modelling, role-based users, MVC and JUnit.
Android app where runners sign in and book races, exchanging JSON with a PHP backend through REST calls.
Wiley · Engineering Reports
An industrial, data-driven approach to support smart manufacturing processes in the space sector.
Elsevier · Acta Astronautica, vol. 192, pp. 276–290
Composite sandwich-panel manufacturing as a case study for producing satellite constellations at scale.
Technical paper · Sapienza University of Rome
Real-time emergency detection from tweets with preprocessing, TF-IDF, clustering and SVM.
19 certifications in cloud, data science and design thinking, from Microsoft, IBM, AWS, Google Cloud and Stanford.
Credly profileOpen to conversations about data platforms, cloud infrastructure and DevOps. I usually reply within a day.
Rome, Italy · Remote and hybrid